DocumentCode
2259405
Title
State space stability analysis of unconstrained decentralized model predictive control systems
Author
Vaccarini, Massimo ; Longhi, Sauro ; Katebi, Reza
Author_Institution
D.I.I.G.A., Univ. Politecnica delle Marche, Ancona
fYear
2006
fDate
14-16 June 2006
Abstract
This paper analyzes stability properties of a decentralized MPC strategy. Assuming that control agents can exchange information with each other only once for every sampling interval, stability conditions on model and controller matrices are derived for the unconstrained case. Stability properties are analyzed either from a local or a global point of view and a comparison between the decentralized and the centralized control is introduced
Keywords
decentralised control; matrix algebra; predictive control; stability; state-space methods; controller matrices; sampling interval; stability conditions; state space stability analysis; unconstrained decentralized model predictive control systems; Centralized control; Distributed control; Electric variables control; Optimal control; Predictive control; Predictive models; Process control; Sampling methods; Stability analysis; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2006
Conference_Location
Minneapolis, MN
Print_ISBN
1-4244-0209-3
Electronic_ISBN
1-4244-0209-3
Type
conf
DOI
10.1109/ACC.2006.1655347
Filename
1655347
Link To Document